Job Summary
The Windows Automation and Analytics Engineer is responsible for designing, automating, and operating enterprise‑grade Windows‑based systems. The role focuses on Windows OS knowledge, infrastructure automation, and data‑driven operational insights.
Tasks and Responsibilities
* Windows OS Engineering
o Support design, deployment, and maintenance of Windows clients (Windows 11)
o Managing and analyzing Windows OS components
+ Group Policy (GPO), Intune, MDM
+ Windows security baselines
o Networking, storage, patching, and update strategies
* Troubleshoot complex OS‑level issues (performance, stability, security)
* Automation & Configuration Management
o Develop and maintain automation solutions using PowerShell, APIs and SDKs (Microsoft Graph, REST)
o Automate OS deployment, configuration drift detection, remediation, and compliance reporting
o Contribute to Infrastructure‑as‑Code and configuration standards
* Data Structures, Analytics & Observability
o Support enhancements to structured data models for system telemetry and operational metrics
o Collect, normalize, and analyze data from event logs, endpoint telemetry, configuration and compliance data, and other sources
o Build analytics and insights to support proactive operations, root‑cause analysis, and capacity and reliability planning
* Software & Data Engineering
o Develop tools and services in C# (.NET) for system management, automation, or monitoring scenarios
o Design and query relational and unstructured data sources using SQL and KQL
o Integrate data pipelines across monitoring, security, and management platforms
* Collaboration & Technical Leadership
o Act as a subject‑matter expert for Windows platforms and automation
o Review designs and code (PowerShell, C#, queries)
Requirements
* Windows Platform Expertise
o Windows OS internals
o Windows administration (enterprise scale)
o Group Policy, Intune, MDM, and configuration management
* Automation & Code & Data
o PowerShell
o C# /.NET (tooling, services, background jobs)
o Good understanding of data structures, data modeling, and data analytics
* Azure or hybrid infrastructure experience
* Endpoint management platforms (Intune, SCCM/MECM)
* Monitoring & analytics platforms (Azure Data Explorer, Log Analytics)
* Infrastructure‑as‑Code (ARM, Bicep, Terraform)
* Understanding of DevOps / SRE principles
* Experience with automation frameworks and CI/CD for scripts
* SQL: advanced querying, joins, indexing, performance
* KQL: log analytics, dashboards, trend analysis
* 3+ years experience in enterprise IT system engineering
* Proven experience operating Windows environments at scale
* Track record of delivering automation and measurable operational improvements
* Experience working in regulated or security‑sensitive environments is a plus
* English fluent
Benefits
* Flexible working conditions
* Life and accident insurance
* Health insurance at a competitive price
* Investment in your learning and development
* Gym membership discounts
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